What If Scenarios
What If Scenarios
This interactive demo shows how Lumi runs what-if scenarios from a simple prompt. Users can test changes such as adjusting price, volume, or cost, and Lumi generates the code, runs the model, and returns the projected outcome.
Review the assumptions and SQL or Python behind every projection. Lumi ensures each step is traceable so teams can validate methodology before acting.
Review the assumptions and SQL or Python behind every projection. Lumi ensures each step is traceable so teams can validate methodology before acting.
Lumi returns the projected effect on revenue, margin, or volume, making it easy to compare scenarios and choose the most viable path.
Fast hypothesis testing
Submit a proposed change and Lumi creates the necessary calculations automatically. The generated code is visible, giving analysts a clear view of how the scenario was built.
Transparent logic
Review the assumptions and SQL or Python behind every projection. Lumi ensures each step is traceable so teams can validate methodology before acting.
Clear impact estimates
Lumi returns the projected effect on revenue, margin, or volume, making it easy to compare scenarios and choose the most viable path.

Redshift


Dynamics
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Redshift


Dynamics
Nav








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Chat
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Frequently
Asked Questions
Find answers to common questions in our FAQ. For
more inquiries, reach out to info@lumi-ai.com
Lumi is a chat-based AI data analyst that uncovers hidden ROI across ERPs and databases faster and a fraction of the cost of manual analysis.
Traditional BI tools excel at tracking predefined metrics through dashboards. They’re not designed to answer the highly specific, ad-hoc, or exploratory questions teams face daily. Lumi lets business users ask custom, plain-language questions and instantly pulls the right data, runs the analysis, and explains the logic behind the answer. Lumi works alongside tools like Tableau and Power BI by handling the long tail of exploratory and one-off questions that dashboards aren’t built to serve.
No. Text-to-SQL is only one small piece of what Lumi does. Lumi uses multiple agents, a structured knowledge base to interpret intent, apply business definitions, run the right analyses, and generate clear, decision-ready insights. SQL generation may happen behind the scenes, but the value comes from understanding context, automating analysis, and explaining results, not simply converting text into queries.
Lumi answers a wide range of simple, complex, and even vague questions. Clients use it to surface exceptions, diagnose root causes, and uncover opportunities hidden in large structured datasets. Click here to learn more.
Mid-to-large CPG and F10 retail clients have identified multi-million dollar opportunities across inventory, sales, and procurement. Click here to view our case studies.
Lumi connects to a wide range of ERPs, databases and data warehouses, including SAP, Postgres, and Snowflake. You can access the full list of connectors here.
Yes. Teams can connect spreadsheets along with their other data sources. Lumi treats them like any other input once they are available inside the environment. Lumi is flexible and can extract insights that pull from both structured and unstructured data sources.
Lumi runs inside your environment and does not move or store your data externally. All processing happens within your network and follows your existing security controls. Lumi supports role-based access control, enforces query cost and duration limits, and connects through advanced data gateway connectors designed for secure, read-only access. Lumi is also SOC 2 compliant so your data remains protected end to end. Learn more about our security page.
Onboarding is swift, typically requiring just a few hours of effort. The process involves (1) establishing a connection and (2) configuring the knowledge base. We also offer personalized, white-glove onboarding for enterprise customers.
Yes, we offer a low-risk, low-effort pilot program that allows enterprise customers to trial Lumi's capabilities. It’s designed to deliver value within ~2 weeks through a focused scope and defined use cases. Learn more here.
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